Job Description
The role involves managing and optimizing the data platform infrastructure, primarily focusing on Databricks and AWS services, to enable data-driven decision-making and AI initiatives across the organization. It includes platform administration, DevOps practices, cross-functional collaboration, and providing technical guidance to teams.
Key Responsibilities
- Administer, monitor, and troubleshoot Databricks workspaces and AWS infrastructure.
- Develop platform administration tools for managing Databricks resources, security, and performance.
- Collaborate with data teams to operationalize and optimize data workflows and pipelines.
- Oversee data engineering development ecosystem, including CI/CD pipelines and monitoring frameworks.
- Implement and manage infrastructure as code (Terraform, CloudFormation) for Databricks and AWS resources.
- Ensure security, high availability, disaster recovery, and compliance of data services.
- Engage with stakeholders to understand data needs and design scalable solutions.
- Lead rapid prototyping and proof-of-concept initiatives for performance, security, and scalability assessments.
- Mentor junior team members and provide technical guidance and training.
Requirements
- Bachelor's or Master's degree in Computer Sciences, Software Engineering, Electrical Engineering, Computer Engineering, or related discipline
- 10 years experience in a Software Engineering, Platform Engineering, Data Engineering, DevOps DataOps or similar technical role, including at least 2 years experience in data infrastructure or platform focused role
- Experience building, delivering, and administering large-scale production-grade data platforms and services to data engineering, business analyst, and data-science teams
- Solid knowledge of Databricks features and administration, including Unity Catalog, cluster management, security, troubleshooting, root-cause analysis, and performance optimization
- Experience and familiarity with AWS services and Cloud Infrastructure provisioning, management, monitoring, and security, including S3, IAM, RDS, Lambda, API-Gateway, VPC, EC2, ECS, EKS
- Strong knowledge of SQL and Python, and hands-on data-engineering experience in designing and developing data pipelines and ETL routines from sources such as SaaS systems, APIs, RDBMS
- Skilled with change-data capture, incremental and batch loading techniques
- Experience troubleshooting underlying issues and translating them into technical solutions
- Excellent problem-solving, communication, and stakeholder management skills
- Experience delivering and managing Databricks and AWS Infrastructure for hundreds of users
- Experience as a technical lead
- Knowledge of DevOps tools and practices including GitHub, GitLab, CI/CD systems, Terraform, monitoring and logging tools such as Datadog and CloudWatch
- Experience implementing robust data governance and security measures to ensure data integrity and compliance
Benefits & Perks
Annual Base Salary 129,625 - 152,500 CAD
Eligible for an initial RSU grant with no vesting cliff and ongoing refresh opportunities tied to performance
Flexible working model supporting remote work and in-office presence
Comprehensive health and parental leave plans
Professional development stipend
Ready to Apply?
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